کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
492338 | 721226 | 2011 | 17 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models Managing dynamic enterprise and urgent workloads on clouds using layered queuing and historical performance models](/preview/png/492338.png)
The automatic allocation of enterprise workload to resources can be enhanced by being able to make what–if response time predictions whilst different allocations are being considered. We experimentally investigate an historical and a layered queuing performance model and show how they can provide a good level of support for a dynamic-urgent cloud environment. Using this we define, implement and experimentally investigate the effectiveness of a prediction-based cloud workload and resource management algorithm. Based on these experimental analyses we: (i) comparatively evaluate the layered queuing and historical techniques; (ii) evaluate the effectiveness of the management algorithm in different operating scenarios; and (iii) provide guidance on using prediction-based workload and resource management.
Journal: Simulation Modelling Practice and Theory - Volume 19, Issue 6, June 2011, Pages 1479–1495